2013-06-23 software

A new version of the
FuzzyNumbers
package for R has just been submitted to the
CRAN archive.

** FuzzyNumbers Package CHANGELOG ** *************************************************************************** 0.3-1 /2013-06-23/ * piecewiseLinearApproximation() - general case (any knot.n) for method="NearestEuclidean" now available. Thus, method="ApproximateNearestEuclidean" is now deprecated. * New binary arithmetic operators, especially for PiecewiseLinearFuzzyNumbers: +, -, *, / * New method: fapply() - applies a function on a PLFN using the extension principle * New methods: as.character(); also used by show(). This function also allows to generate LaTeX code defining the FN (toLaTeX arg thanks to Jan Caha). * as.FuzzyNumber(), as.TriangularFuzzyNumber(), as.PowerFuzzyNumber(), and as.PiecewiseLinearFuzzyNumber() are now S4 methods, and can be called on objects of type numeric, as well as on various FNs * piecewiseLinearApproximation() and as.PiecewiseLinearFuzzyNumber() argument `knot.alpha` now defaults to equally distributed knots (via given `knot.n`). If `knot.n` is missing, then it is guessed from `knot.alpha`. * PiecewiseLinearFuzzyNumber() now accepts missing `a1`, `a2`, `a3`, `a4`, and `knot.left`, `knot.right` of length `knot.n`+2. Moreover, if `knot.n` is not given, then it is guessed from length(knot.left). If `knot.alpha` is missing, then the knots will be equally distributed on the interval [0,1]. * alphacut() now always returns a named two-column matrix. evaluate() returns a named vector. * New function: TriangularFuzzyNumber - returns a TrapezoidalFuzzyNumber. * Function renamed: convert.side to convertSide, convert.alpha to convertAlpha, approx.invert to approxInvert * Added a call to setGeneric("plot", function(x, y, ...) ... to avoid a warning on install * The FuzzyNumbers Tutorial has been properly included as the package's vignette * DiscontinuousFuzzyNumber class has been marked as **EXPERIMENTAL** in the manual * Man pages extensively updated * FuzzyNumbers devel repo moved to GitHub

2013-06-05 new book

My book *Programowanie w języku R.
Analiza danych, obliczenia, symulacje*
*(R Programming: Data Analysis, Computing & Simulation)*
has been accepted for publication by
Wydawnictwo Naukowe PWN.
It will appear on February, 2014.

2013-04-03 award

I've been granted the Foundation for Polish Science (FNP)
Scholarship for “young, talented researchers”
‐ START 2013 Program.

2013-04-02 new paper

Our two papers has just been accepted for this year's AGOP Workshop.
The proceedings will appear in Springer's Advances in Intelligent and Soft Computing Series.

- Cena A., Gągolewski M.,
*OM3: ordered maxitive, minitive, and modular aggregation operators – Part I: Axiomatic analysis under arity-dependence*, In: Bustince H. et al (Eds.),*Aggregation Functions in Theory and in Practise*(AISC 228), Springer-Verlag, Heidelberg, 2013, pp. 93-103.**Abstract:***Recently, a very interesting relation between symmetric minitive, maxitive, and modular aggregation operators has been shown. It turns out that the intersection between any pair of the mentioned classes is the same. This result introduces what we here propose to call the OM3 operators. In the first part of our contribution on the analysis of the OM3 operators we study some properties that may be useful when aggregating input vectors of varying lengths. In Part II we will perform a thorough simulation study of the impact of input vectors' calibration on the aggregation results.* - Cena A., Gągolewski M.,
*OM3: ordered maxitive, minitive, and modular aggregation operators – Part II: A simulation study*, In: Bustince H. et al (Eds.),*Aggregation Functions in Theory and in Practise*(AISC 228), Springer-Verlag, Heidelberg, 2013, pp. 105-115.**Abstract:***This article is a second part of the contribution on the analysis of the recently-proposed class of symmetric maxitive, minitive and modular aggregation operators. Recent results (Gagolewski, Mesiar, 2012) indicated some unstable behavior of the generalized h-index, which is a particular instance of OM3, in case of input data transformation. The study was performed on a small, carefully selected real-world data set. Here we conduct some experiments to examine these phenomena more extensively.*

2013-03-01

**Postdoctoral Research Visit @ Slovak University of Technology**

For the next 4 months I will be working under the kind
supervision of Prof. Radko Mesiar at the
Department of Mathematics, Slovak University
of Technology in Bratislava, Slovakia.
My research visit is supported by the European Union European Social Fund,
Project UDA-POKL.04.01.01-00-051/10-00 *Information technologies:
Research and their interdisciplinary applications*.